Husky Liners 05-10 Chrysler 300 In-Channel Mount Ventvisor Low Profile (4pc) - Smoke

Marsoni

M251S

$76.49

Get it in 3 business days with 1 day shipping. Friday, May 29

Husky Liners 05-10 Chrysler 300 In-Channel Mount Ventvisor Low Profile (4pc) - SmokeSKU: 2864002 UPC: 753933010515 Husky Liners 2005 2010 Chrysler 300 & 2005 2008 Dodge Magnum In Channel Mount Ventvisor Low Profile (4pc) Smoke Equip your Chrysler 300 (2005 2010) or Dodge Magnum (2005 2008) with Husky Liners Low Profile Ventvisors in smoke tint for unmatched style and protection. This 4 piece set mounts securely in window channels using 3M automotive grade tape, blocking rain and debris while channeling fresh air inside to clear

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This is a solid book for understanding the art and science of working with LLMs and other generative AI models. I always struggled with getting the output I was looking for, and wasn't sure how best to "ask" the models for what I wanted. This book did a great job of laying out the strategies and practical guidance to craft the prompts. There were a lot of tips and tricks, but the overall understanding and framework around prompt engineering has been super useful.

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Reviewed in the United States on June 25, 2024

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Matt B

Lowell, US

★★★★★ 5

A must read!

Format: Paperback

Hands down, the best book on prompt engineering and implementing LLMs. Really enjoyed Michael and James deep dive. Whether you're technical or not, this book is foundational to a deeper understanding in how to properly explore and implement LLMs.

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Reviewed in the United States on June 25, 2024

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San Leandro, US

★★★★★ 4

Helpful for GPT/LangChain framework

Format: Paperback

I applaud the authors for putting forth a comprehensive introduction in a rapidly evolving space. I absorbed a lot, helpful as I was developing a prototype — using open source methods. And that’s where I was disappointed. The LLM and examples are highly adapted to OpenAI’s GPT-x and the bulky LangChain framework, something not obvious until you dig in to the book. Sure, this may be where newbie demand was when the authors began writing. But as the open source models and OpenAI alternatives gain speed (e.g. Llama 3.1, Groq, etc.) this book may quickly need an updated and expanded version to stay relevant.

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Reviewed in the United States on August 7, 2024

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K. Wain

Carnegie, US

★★★★★ 3

Good concepts, but uneven depth

Format: Paperback

Some helpful prompt frameworks, but parts felt repetitive and a few sections stayed too high-level for advanced users. Beginners will likely benefit more than experienced practitioners. If you’re new to prompt engineering it’s a decent starting point; if you’re already building structured prompts daily, it may feel light.

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Reviewed in the United States on January 17, 2026